AI Pre-Training
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
19 topics found for
“model training”
Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
Train/Test
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
Generative Modeling
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
Pre-Trained Transformer
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific tasks.
Machine Learning
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
Cross Validation
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
LLM
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.